GPU: GPUs with Compute Capability 7.0 or higher (16GB+ GPU RAM is recommended). OS: Windows 11 with Ubuntu 22.04 instance for WSL2. Using this feature does not require a dual boot environment, removing complexity and saving you time. WSL2 is a Windows feature that enables users to run native Linux command line tools directly on Windows. ![]() Windows users can now tap into GPU accelerated data science on their local machines using RAPIDS on Windows Subsystem for Linux 2. Several services also offer free and limited trials with GPU resources: Learn how to deploy RAPIDS on AWS, Azure, GCP, and IBM cloud on our Cloud Deployment Page. If you do not have access to GPU hardware, there are several cloud service providers (CSP) that are RAPIDS enabled. Approximately 2:1 ratio of system Memory to total GPU Memory (especially useful for Dask).See CUDA compatibility for details.Īside from the system requirements, other considerations for best performance include: Newer CUDA and driver versions may also work with RAPIDS. Note: RAPIDS is tested with and officially supports the versions listed above. RHEL 7/8 support is provided through CentOS 7 / Rocky Linux 8 builds/installsĬUDA & NVIDIA Drivers: One of the following supported versions:. ![]()
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